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Euromicro Conference on Software Engineering and Advanced Applications (SEAA)

作者： Oliver Hummel Holger Eichelberger Andreas Giloj Dominik Werle Klaus Schmid Faculty of Computer Science Mannheim University of Applied Sciences Software Systems Engineering University of Hildesheim Institute for Program Structures and Data Organization Karlsruhe Institute of Technology

ISBN: (纸本)9781538673843

In recent years, the development of systems for processing and analyzing large amounts of data (so-called Big data) has become an important sub-discipline of software engineering. However, to date there exits no comprehensive summary of the specific idiosyncrasies and challenges that the development of Big data systems imposes on software engineers. With this paper, we aim to provide a first step towards filling this gap based on our collective experience from industry and academic projects as well as from consulting and initial literature reviews. The main contribution of our work is a concise summary of 26 challenges in engineering Big data systems, collected and consolidated by means of a systematic identification process. The aim is to make practitioners more aware of common challenges and to offer researchers a solid baseline for identifying novel software engineering research directions.

关键词： Big data Software Software engineering Computer architecture data analysis data privacy Systematics

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Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics): Preface

Lecture Notes in Computer Science (including subseries Lectu...

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Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 2010年 6092 LNCS卷 VI页

作者： Grunske, Lars Reussner, Ralf Swinburne University of Technology Faculty of ICT John Street Melbourne VIC 3122 Australia Institute for Program Structures and Data Organization Am Fasanengarten 5 76131 Karlsruhe Germany

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Ontology-based program Comprehension Tool Supporting Website Architectural Evolution

Ontology-based Program Comprehension Tool Supporting Website...

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International Symposium on Web Systems Evolution

作者： Yonggang Zhang Rene Witte Juergen Rilling Volker Haarslev Department of Computer Science and Software Engineering Concordia University Montreal QUE Canada Institute for Program Structures and Data Organization (IPD) Universität Karlsruhe Germany

A challenge of existing program comprehension approaches is to provide consistent and flexible representations for software systems. Maintainers have to match their mental models with the different representations these tools provide. In this paper, we present a novel approach that addresses this issue by providing a consistent ontological representation for both source code and documentation. The ontological representation unifies information from various sources, and therefore reduces the maintainers' comprehension efforts. In addition, representing software artifacts in a formal ontology enables maintainers to formulate hypotheses about various properties of software systems. These hypotheses can be validated through an iterative exploration of information derived by our ontology inference engine. The implementation of our approach is presented in detail, and a case study is provided to demonstrate the applicability of our approach during the architectural evolution of a Web site content management system

关键词： Ontologies Cognitive science Software systems Software maintenance Documentation Software tools Content management Computer science Software engineering Engines

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Finite-time analysis of globally nonstationary multi-armed bandits

The Journal of Machine Learning Research

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The Journal of Machine Learning Research 2024年第1期25卷 5481-5536页

作者： Junpei Komiyama Edouard Fouché Junya Honda Stern School of Business New York University Institute for Program Structures and Data Organization Karlsruhe Institute of Technology Germany Department of Systems Science Graduate School of Informatics Kyoto University Japan Center for Advanced Intelligence Project RIKEN Japan

We consider nonstationary multi-armed bandit problems where the model parameters of the arms change over time. We introduce the adaptive resetting bandit (ADR-bandit), a bandit algorithm class that leverages adaptive windowing techniques from literature on data streams. We first provide new guarantees on the quality of estimators resulting from adaptive windowing techniques, which are of independent interest. Furthermore, we conduct a finite-time analysis of ADR-bandit in two typical environments: an abrupt environment where changes occur instantaneously and a gradual environment where changes occur progressively. We demonstrate that ADR-bandit has nearly optimal performance when abrupt or gradual changes occur in a coordinated manner that we call global changes. We demonstrate that forced exploration is unnecessary when we assume such global changes. Unlike the existing nonstationary bandit algorithms, ADR-bandit has optimal performance in stationary environments as well as nonstationary environments with global changes. Our experiments show that the proposed algorithms outperform the existing approaches in synthetic and real-world environments.

关键词： multi-armed bandits adaptive windows nonstationary bandits changepoint detection sequential learning

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Managed Software Evolution 1

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1000年

作者： Ralf Reussner Jan Keim Michael Goedicke Wilhelm Hasselbring Birgit Vogel-Heuser Lukas Märtin

ISBN: (数字)9783030134990

ISBN: (纸本)9783030134983;9783030135010

This open access book presents the outcomes of the “Design for Future – Managed Software Evolution” priority program 1593, which was launched by the German Research Foundation (“Deutsche Forschungsgemeinschaft (DFG)”) to develop new approaches to software engineering with a specific focus on long-lived software systems. The different lifecycles of software and hardware platforms lead to interoperability problems in such systems. Instead of separating the development, adaptation and evolution of software and its platforms, as well as aspects like operation, monitoring and maintenance, they should all be integrated into one overarching process.;Accordingly, the book is split into three major parts, the first of which includes an introduction to the nature of software evolution, followed by an overview of the specific challenges and a general introduction to the case studies used in the project. The second part of the book consists of the main chapters on knowledge carrying software, and cover tacit knowledge in software evolution, continuous design decision support, model-based round-trip engineering for software product lines, performance analysis strategies, maintaining security in software evolution, learning from evolution for evolution, and formal verification of evolutionary changes. In turn, the last part of the book presents key findings and spin-offs. The individual chapters there describe various case studies, along with their benefits, deliverables and the respective lessons learned. An overview of future research topics rounds out the coverage.;The book was mainly written for scientific researchers and advanced professionals with an academic background. They will benefit from its comprehensive treatment of various topics related to problems that are now gaining in importance, given the higher costs for maintenance and evolution in comparison to the initial development, and the fact that today, most software is not developed from scratch, but as part of a c

关键词： Software Engineering Software Management Management of Computing and Information Systems Theory of Computation

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Semantic Technologies in System Maintenance (STSM 2008)

Semantic Technologies in System Maintenance (STSM 2008)

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IEEE Workshop on program Comprehension

作者： Juergen Rilling René Witte Dragan Gaševic Jeff Z. Pan Department of Computer Science and Software Engineering Concordia University Montréal Québec Canada University of Karlsruhe Institute for Program Structures and Data Organization (IPD) Karlsruhe Germany Department of Computing Science Aberdeen The University of Aberdeen Scotland UK

This paper gives a brief overview of the international workshop on semantic technologies in system maintenance. It describes a number of semantic technologies (e.g., ontologies, text mining, and knowledge integration techniques) and identifies diverse tasks in software maintenance where the use of semantic technologies can be beneficial, such as traceability, system comprehension, software artifact analysis, and information integration.

关键词： Ontologies Software maintenance Space technology Application software Semantic Web Logic programming Computer science OWL Software engineering Information systems

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Ernst Denert Award for Software Engineering 2019 1

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1000年

作者： Michael Felderer Wilhelm Hasselbring Heiko Koziolek Florian Matthes Lutz Prechelt Ralf Reussner Bernhard Rumpe Ina Schaefer

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Ernst Denert Award for Software Engineering 2020 1

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1000年

作者： Michael Felderer Wilhelm Hasselbring Heiko Koziolek Florian Matthes Lutz Prechelt Ralf Reussner Bernhard Rumpe Ina Schaefer

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Finite-time Analysis of Globally Nonstationary Multi-Armed Bandits

arXiv

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arXiv 2021年

作者： Komiyama, Junpei Fouché, Edouard Honda, Junya Stern School of Business New York University 44 West 4th Street New YorkNY United States Institute for Program Structures and Data Organization Karlsruhe Institute of Technology Am Fasanengarten 5 Karlsruhe76131 Germany Department of Systems Science Graduate School of Informatics Kyoto University Yoshida Honmachi Sakyo-ku Kyoto606-8501 Japan

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A survey of concurrent object-oriented languages

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Concurrency and Computation: Practice and Experience 2000年第10期12卷

作者： Michael Philippsen University of Karlsruhe Institute for Program Structures and Data Organization Am Fasanengarten 5 D-76128 Karlsruhe Germany

During the last decade object-oriented programming has grown from marginal influence into widespread acceptance. During the same period, progress in hardware and networking has changed the computing environment from sequential to parallel. Multi-processor workstations and clusters are now quite common. Unnumbered proposals have been made to combine both developments. Always the prime objective has been to provide the advantages of object-oriented software design at the increased power of parallel machines. However, combining both concepts has proven to be notoriously difficult. Depending on the approach, often key characteristics of either the object-oriented paradigm or key performance factors of parallelism are sacrificed, resulting in unsatisfactory languages. This survey first recapitulates well-known characteristics of both the object-oriented paradigm and parallel programming, and then marks out the design space of possible combinations by identifying various interdependencies of key concepts. The design space is then filled with data points: for 111 proposed languages we provide brief characteristics and feature tables. Feature tables, the comprehensive bibliography, and web-addresses might help in identifying open questions and preventing re-inventions. Copyright © 2000 John Wiley & Sons, Ltd.

关键词： programming languages object-orientation parallelism concurrency

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